Q89YZ2 AF NFT

Peptidyl-tRNA hydrolase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie27jds5ikspctcnjsig67yigezlvyzkjvmbk6r4wp556i7d3wctu/metadata.json
IPFS of structure file: 
bafybeihvticbrcke6pm3fuqhpxhvo2q64qh7ktphf3jrlyz5xcsiiv6cue/AF-Q89YZ2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5dE98e70b9933Af0550a86E7d1628A7E076af841
First NFT owner address (bech32): 
genesis1th5cuu9ejva0q4g2smnazc520crk47zpdxgqr0
Current NFT ID #318738 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
318738
Accession (UniProt):
Q89YZ2
Name::
Peptidyl-tRNA hydrolase
Experimental Method:
Predicted structure
Sequence source:
Bacteroides thetaiotaomicron (strain ATCC 29148 / DSM 2079 / JCM 5827 / CCUG 10774 / NCTC 10582 / VPI-5482 / E50)

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT Q89YZ2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q89YZ2|PTH_BACTN Peptidyl-tRNA hydrolase OS=Bacteroides thetaiotaomicron (strain ATCC 29148 / DSM 2079 / JCM 5827 / CCUG 10774 / NCTC 10582 / VPI-5482 / E50) OX=226186 GN=pth PE=3 SV=1 MIKYLIVGLGNIGPEYHETRHNIGFMTVEALARINNAPPFIDGRYGFTTSFSIKGRQLILLKPSTFMNLSGLAVRYWMQKENIPLENVLIVVDDLALPFGTLRLKGKGSDAGHNGLKHIAAILGTQNYARLRFGIGNDFPKGGQIDYVLGHFTDEDRKTMDERLETAGEIIKSFCLAGIDITMNQFNKK